BEGIN:VCALENDAR VERSION:2.0 PRODID:-//wp-events-plugin.com//7.2.3.1//EN TZID:Europe/Paris X-WR-TIMEZONE:Europe/Paris BEGIN:VEVENT UID:400@cran.univ-lorraine.fr DTSTART;TZID=Europe/Paris:20240627T140000 DTEND;TZID=Europe/Paris:20240627T150000 DTSTAMP:20240624T074337Z URL:https://www.cran.univ-lorraine.fr/events/seminaire-antonio-ferramosca/ SUMMARY:Séminaire MiraKhalil DESCRIPTION:Titre: "Hybrid low-dimensional limiting state of charge estimat or for multi-cell lithium-ion batteries"\n\nRésumé : The state of charge (SOC) of lithium-ion batteries needs to be accurately estimated for safet y and reliability purposes. For battery packs made of a large number of ce lls\, it is not always feasible to design one SOC estimator per cell due t o limited computational resources. Instead\, only the minimum and the maxi mum SOC need to be estimated. The challenge is that the cells having minim um and maximum SOC typically change over time. In this context\, we presen t a low-dimensional hybrid estimator of the minimum (maximum) SOC\, whose convergence is analytically guaranteed. We consider for this purpose a bat tery consisting of cells interconnected in series\, which we model by elec tric equivalent circuit models. We then present the hybrid estimator\, whi ch runs an observer designed for a single cell at any time instant\, selec ted by a switching-like logic mechanism. We establish a practical exponent ial stability property for the estimation error on the minimum (maximum) S OC thereby guaranteeing the ability of the hybrid scheme to generate accur ate estimates of the minimum (maximum) SOC. The analysis relies on non-smo oth hybrid Lyapunov techniques. We showcase the relevance of the proposed approach with a numerical example.\n\n \;\n\n \;\n\nLien Teams: ht tps://teams.microsoft.com/l/message/19:MVHWcoJpE9ydRWENhbnWqgLENWmTloOdNUb GwTj3dYs1@thread.tacv2/1703782252879?tenantId=158716cf-46b9-48ca-8c49-c7bb 67e575f3&\;groupId=b0d7b081-1158-445b-a7bd-a5e4ff1c0d41&\;parentMess ageId=1703782252879&\;teamName=Projet%20MODEL%20(CID)&\;channelName= General&\;createdTime=1703782252879 CATEGORIES:Département CID,Séminaire projet MODELE LOCATION:CRAN - ENSEM\, 2\, Avenue de la Foret de Haye\, Voandoeuvre-les-Na ncy\, 54516\, France X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=2\, Avenue de la Foret de H aye\, Voandoeuvre-les-Nancy\, 54516\, France;X-APPLE-RADIUS=100;X-TITLE=CR AN - ENSEM:geo:0,0 END:VEVENT BEGIN:VTIMEZONE TZID:Europe/Paris X-LIC-LOCATION:Europe/Paris BEGIN:DAYLIGHT DTSTART:20240331T030000 TZOFFSETFROM:+0100 TZOFFSETTO:+0200 TZNAME:CEST END:DAYLIGHT END:VTIMEZONE END:VCALENDAR